The phrase "a wrong model" is correct and usable in written English.
It can be used when referring to a model that is incorrect or flawed in some way, often in contexts like science, mathematics, or theoretical frameworks.
Example: "The researchers realized that they had been using a wrong model to predict the outcomes of their experiments."
Alternatives: "an incorrect model" or "a flawed model".
It's not that it was a wrong model for its time, but the model doesn't work anymore".
He also attempted to show how philosophers were led to dualistic conclusions through the use of a wrong model in terms of which to interpret human activities.
Yet the attacker could possibly communicate with normal agents and gain a large weight by some well-designed attack model, and finally drive the agents to estimate a wrong model or prolong the estimation time.
From the QQ-plots a wrong model can be rejected.
Therefore, {mathcal{M}}_{c} = left{ {M_{alpha } :{text{all}};{text{the}};{text{necessary}};{text{predictors}};{text{are}};{text{present}}} right},;{text{i}}.{text{e}}.;{mathcal{M}}_{c} = left{ {M_{alpha } : alpha_{N} subseteq alpha } right}Similarly, if the model M α doesn't contain at least one necessary predictor then it is a wrong model.
It should be noted that altering the logic model always runs the risk of resulting in a "wrong" model.
An AUC near 1 indicates that mean log score perfectly discriminates between the true NB model and a competing (wrong) model adopted for a particular scenario.
That was just wrong; it represented a completely wrong model of how the economy works.
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